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must be inferred from the data. The overall goal is to develop reliable and robust statistical methods that can contribute to scientific understanding and inform decision-making and public policy
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 8 hours ago
. Working in coordination with the White House, Capitol Hill, other federal agencies, and local stakeholders, the Office of Policy aims to facilitate an affordable, reliable, and secure energy economy and
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
. The Department of Structural Materials is looking for a Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications. Small specimen techniques have evolved from a pragmatic
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
applied basic research into the protection of people and the environment from the effects of radioactive radiation. The Department of Structural Materials is looking for a Postdoc (f/m/d) Mechanical
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. This allows us to shift from the standard imaging question of "what is the structure of this sample?" to "how does the structure differ from the known design?". The second question can be answered with far
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, calibration and reliability of large pre-trained models Probabilistic generative models and world models Probabilistic machine learning for scientific discovery Don’t see your exact idea listed? We encourage
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at the atomic scale. What you will do As device dimensions continue to shrink, surfaces and buried interfaces increasingly define performance, reliability and long-term stability. This postdoctoral position
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that are simple and efficient enough for parametric design, yet reliable enough to be trusted? Can a coupled engineering-level model reliably reproduce the interaction between clay and lining, turning high-fidelity
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to advance the development and application of reliable, interpretable and uncertainty-aware machine learning methods for high-stakes regulated domains, including law, finance, policy and regulatory decision
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of the Institute of Inorganic Chemistry. Supervision of students at all levels through scientific guidance, regular feedback, and structured mentoring. Teaching lectures on topics including environmental chemistry